1. Version 1.2 Copyright © 2000 by Harcourt, Inc. All rights reserved. Requests for permission to make copies of any part of the work should be mailed to: Permissions Department Harcourt, Inc. 6277 Sea Harbor Drive Orlando, Florida 32887-6777 Lecture Presentation Software to accompany Investment Analysis and Portfolio Management Sixth Edition by Frank K. Reilly & Keith C. Brown Chapter 8

2. Copyright © 2000 by Harcourt, Inc. All rights reserved. Chapter 8 - An Introduction to Portfolio Management Questions to be answered: What do we mean by risk aversion and what evidence indicates that investors are generally risk averse? What are the basic assumptions behind the Markowitz portfolio theory? What is meant by risk and what are some of the alternative measures of risk used in investments?

3. Copyright © 2000 by Harcourt, Inc. All rights reserved. Chapter 8 - An Introduction to Portfolio Management How do you compute the expected rate of return for an individual risky asset or a portfolio of assets? How do you compute the standard deviation of rates of return for an individual risky asset? What is meant by the covariance between rates of return and how do you compute covariance?

4. Copyright © 2000 by Harcourt, Inc. All rights reserved. Chapter 8 - An Introduction to Portfolio Management What is the relationship between covariance and correlation? What is the formula for the standard deviation for a portfolio of risky assets and how does it differ from the standard deviation of an individual risky asset? Given the formula for the standard deviation of a portfolio, how and why do you diversify a portfolio?

5. Copyright © 2000 by Harcourt, Inc. All rights reserved. Chapter 8 - An Introduction to Portfolio Management What happens to the standard deviation of a portfolio when you change the correlation between the assets in the portfolio? What is the risk-return efficient frontier? Is it reasonable for alternative investors to select different portfolios from the portfolios on the efficient frontier? What determines which portfolio on the efficient frontier is selected by an individual investor?

6. Copyright © 2000 by Harcourt, Inc. All rights reserved. Background Assumptions As an investor you want to maximize the returns for a given level of risk. Your portfolio includes all of your assets and liabilities The relationship between the returns for assets in the portfolio is important. A good portfolio is not simply a collection of individually good investments.

7. Copyright © 2000 by Harcourt, Inc. All rights reserved. Risk Aversion Given a choice between two assets with equal rates of return, risk averse investors will select the asset with the lower level of risk.

8. Copyright © 2000 by Harcourt, Inc. All rights reserved. Evidence That Investors are Risk Averse Many investors purchase insurance for: Life, Automobile, Health, and Disability Income. The purchaser trades known costs for unknown risk of loss Yield on bonds increases with risk classifications from AAA to AA to A….

9. Copyright © 2000 by Harcourt, Inc. All rights reserved. Not all investors are risk averse Risk preference may have to do with amount of money involved - risking small amounts, but insuring large losses

10. Copyright © 2000 by Harcourt, Inc. All rights reserved. Definition of Risk 1. Uncertainty of future outcomes or 2. Probability of an adverse outcome We will consider several measures of risk that are used in developing portfolio theory

11. Copyright © 2000 by Harcourt, Inc. All rights reserved. Markowitz Portfolio Theory Quantifies risk Derives the expected rate of return for a portfolio of assets and an expected risk measure Shows the variance of the rate of return is a meaningful measure of portfolio risk Derives the formula for computing the variance of a portfolio, showing how to effectively diversify a portfolio

12. Copyright © 2000 by Harcourt, Inc. All rights reserved. Assumptions of Markowitz Portfolio Theory 1. Investors consider each investment alternative as being presented by a probability distribution of expected returns over some holding period.

13. Copyright © 2000 by Harcourt, Inc. All rights reserved. Assumptions of Markowitz Portfolio Theory 2. Investors maximize one-period expected utility, and their utility curves demonstrate diminishing marginal utility of wealth.

14. Copyright © 2000 by Harcourt, Inc. All rights reserved. Assumptions of Markowitz Portfolio Theory 3. Investors estimate the risk of the portfolio on the basis of the variability of expected returns.

15. Copyright © 2000 by Harcourt, Inc. All rights reserved. Assumptions of Markowitz Portfolio Theory 4. Investors base decisions solely on expected return and risk, so their utility curves are a function of expected return and the expected variance (or standard deviation) of returns only.

16. Copyright © 2000 by Harcourt, Inc. All rights reserved. Assumptions of Markowitz Portfolio Theory 5. For a given risk level, investors prefer higher returns to lower returns. Similarly, for a given level of expected returns, investors prefer less risk to more risk.

17. Copyright © 2000 by Harcourt, Inc. All rights reserved. Assumptions of Markowitz Portfolio Theory Using these five assumptions, a single asset or portfolio of assets is considered to be efficient if no other asset or portfolio of assets offers higher expected return with the same (or lower) risk, or lower risk with the same (or higher) expected return.

18. Copyright © 2000 by Harcourt, Inc. All rights reserved. Alternative Measures of Risk Variance or standard deviation of expected return Range of returns Returns below expectations –Semivariance - measure expected returns below some target –Intended to minimize the damage Scale of returns (if stock returns follow a stable distribution, in which case their variance would be infinite)

19. Copyright © 2000 by Harcourt, Inc. All rights reserved. Expected Rates of Return Individual risky asset –Sum of probability times possible rate of return Portfolio –Weighted average of expected rates of return for the individual investments in the portfolio

20. Copyright © 2000 by Harcourt, Inc. All rights reserved. Computation of Expected Return for an Individual Risky Investment Table 8.1

21. Copyright © 2000 by Harcourt, Inc. All rights reserved. Computation of the Expected Return for a Portfolio of Risky Assets Table 8.2

22. Copyright © 2000 by Harcourt, Inc. All rights reserved. Variance (Standard Deviation) of Returns for an Individual Investment Standard deviation is the square root of the variance Variance is a measure of the variation of possible rates of return R i, from the expected rate of return [E(R i )]

23. Copyright © 2000 by Harcourt, Inc. All rights reserved. Variance (Standard Deviation) of Returns for an Individual Investment where P i is the probability of the possible rate of return, R i

24. Copyright © 2000 by Harcourt, Inc. All rights reserved. Variance (Standard Deviation) of Returns for an Individual Investment Standard Deviation

25. Copyright © 2000 by Harcourt, Inc. All rights reserved. Variance (Standard Deviation) of Returns for an Individual Investment Table 8.3 Variance ( 2 ) =.0050 Standard Deviation ( ) =.02236

26. Copyright © 2000 by Harcourt, Inc. All rights reserved. Variance (Standard Deviation) of Returns for a Portfolio Computation of Monthly Rates of Return Table 8.4

27. Copyright © 2000 by Harcourt, Inc. All rights reserved. Time Series Returns for Coca-Cola: 1998 Figure 8.1

28. Copyright © 2000 by Harcourt, Inc. All rights reserved. Times Series Returns for Exxon: 1998 Figure 8.2

29. Copyright © 2000 by Harcourt, Inc. All rights reserved. Times Series Returns for Coca-Cola and Exxon: 1998

30. Copyright © 2000 by Harcourt, Inc. All rights reserved. Variance (Standard Deviation) of Returns for a Portfolio For two assets, i and j, the covariance of rates of return is defined as: Cov ij = E{[R i - E(R i )][R j - E(R j )]}

31. Copyright © 2000 by Harcourt, Inc. All rights reserved. Computation of Covariance of Returns for Coca-Cola and Exxon: 1998 Table 6.5

32. Copyright © 2000 by Harcourt, Inc. All rights reserved. Scatter Plot of Monthly Returns for Coca-Cola and Exxon: 1998 Figure 8.3

33. Copyright © 2000 by Harcourt, Inc. All rights reserved. Covariance and Correlation Correlation coefficient varies from -1 to +1

34. Copyright © 2000 by Harcourt, Inc. All rights reserved. Computation of Standard Deviation of Returns for Coca-Cola and Exxon: 1998 Table 8.6

35. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Standard Deviation Formula

36. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Standard Deviation Calculation Any asset of a portfolio may be described by two characteristics: –The expected rate of return –The expected standard deviations of returns The correlation, measured by covariance, affects the portfolio standard deviation Low correlation reduces portfolio risk while not affecting the expected return

37. Copyright © 2000 by Harcourt, Inc. All rights reserved. Combining Stocks with Different Returns and Risk Case Correlation Coefficient Covariance a +1.00.0070 b +0.50.0035 c 0.00.0000 d -0.50 -.0035 e -1.00 -.0070 1.10.50.0049.07 2.20.50.0100.10

38. Copyright © 2000 by Harcourt, Inc. All rights reserved. Combining Stocks with Different Returns and Risk Assets may differ in expected rates of return and individual standard deviations Negative correlation reduces portfolio risk Combining two assets with -1.0 correlation reduces the portfolio standard deviation to zero only when individual standard deviations are equal

39. Copyright © 2000 by Harcourt, Inc. All rights reserved. Constant Correlation with Changing Weights 1.10 r ij = 0.00 2.20

40. Copyright © 2000 by Harcourt, Inc. All rights reserved. Constant Correlation with Changing Weights

41. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Risk-Return Plots for Different Weights Standard Deviation of Return E(R) R ij = +1.00 1 2 With two perfectly correlated assets, it is only possible to create a two asset portfolio with risk- return along a line between either single asset

42. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Risk-Return Plots for Different Weights Standard Deviation of Return E(R) R ij = 0.00 R ij = +1.00 f g h i j k 1 2 With uncorrelated assets it is possible to create a two asset portfolio with lower risk than either single asset

43. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Risk-Return Plots for Different Weights Standard Deviation of Return E(R) R ij = 0.00 R ij = +1.00 R ij = +0.50 f g h i j k 1 2 With correlated assets it is possible to create a two asset portfolio between the first two curves

44. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Risk-Return Plots for Different Weights Standard Deviation of Return E(R) R ij = 0.00 R ij = +1.00 R ij = -0.50 R ij = +0.50 f g h i j k 1 2 With negatively correlated assets it is possible to create a two asset portfolio with much lower risk than either single asset

45. Copyright © 2000 by Harcourt, Inc. All rights reserved. Portfolio Risk-Return Plots for Different Weights Standard Deviation of Return E(R) R ij = 0.00 R ij = +1.00 R ij = -1.00 R ij = +0.50 f g h i j k 1 2 With perfectly negatively correlated assets it is possible to create a two asset portfolio with almost no risk R ij = -0.50 Figure 8.7

46. Copyright © 2000 by Harcourt, Inc. All rights reserved. Estimation Issues Results of portfolio allocation depend on accurate statistical inputs Estimates of –Expected returns –Standard deviation –Correlation coefficient Among entire set of assets With 100 assets, 4,950 correlation estimates Estimation risk refers to potential errors

47. Copyright © 2000 by Harcourt, Inc. All rights reserved. Estimation Issues With assumption that stock returns can be described by a single market model, the number of correlations required reduces to the number of assets Single index market model: b i = the slope coefficient that relates the returns for security i to the returns for the aggregate stock market R m = the returns for the aggregate stock market

48. Copyright © 2000 by Harcourt, Inc. All rights reserved. Estimation Issues If all the securities are similarly related to the market and a b i derived for each one, it can be shown that the correlation coefficient between two securities i and j is given as:

49. Copyright © 2000 by Harcourt, Inc. All rights reserved. The Efficient Frontier The efficient frontier represents that set of portfolios with the maximum rate of return for every given level of risk, or the minimum risk for every level of return Frontier will be portfolios of investments rather than individual securities –Exceptions being the asset with the highest return and the asset with the lowest risk

50. Copyright © 2000 by Harcourt, Inc. All rights reserved. Efficient Frontier for Alternative Portfolios Efficient Frontier A B C Figure 8.9 E(R) Standard Deviation of Return

51. Copyright © 2000 by Harcourt, Inc. All rights reserved. The Efficient Frontier and Investor Utility An individual investor’s utility curve specifies the trade-offs he is willing to make between expected return and risk The slope of the efficient frontier curve decreases steadily as you move upward These two interactions will determine the particular portfolio selected by an individual investor

52. Copyright © 2000 by Harcourt, Inc. All rights reserved. The Efficient Frontier and Investor Utility The optimal portfolio has the highest utility for a given investor It lies at the point of tangency between the efficient frontier and the utility curve with the highest possible utility

53. Copyright © 2000 by Harcourt, Inc. All rights reserved. Selecting an Optimal Risky Portfolio X Y U3U3 U2U2 U1U1 U 3’ U 2’ U 1’ Figure 8.10

54. Copyright © 2000 by Harcourt, Inc. All rights reserved. The Internet Investments Online www.pionlie.com www.investmentnews.com www.micropal.com www.riskview.com www.altivest.com

55. Copyright © 2000 by Harcourt, Inc. All rights reserved. End of Chapter 8 –An Introduction to Portfolio Management

56. Copyright © 2000 by Harcourt, Inc. All rights reserved. Future topics Chapter 9 Capital Market Theory Capital Asset Pricing Model Beta Expected Return and Risk Arbitrage Pricing Theory

57. Copyright © 2000 by Harcourt, Inc. All rights reserved.